code: def __init__(self, epsilon=0.1, **kwargs):
      super().__init__(**kwargs)
      self.epsilon = epsilon
      self.add_to_recordable_attributes(name="epsilon", is_stat=False)
  
file_path: pytorch-metric-learning/src/pytorch_metric_learning/miners/multi_similarity_miner.py
imports: import torch
  from ..distances import CosineSimilarity
  from ..utils import common_functions
  from ..utils import loss_and_miner_utils
  from .base_miner import BaseMiner
label_desc: Use image node_id 1 to create a new MultiSimilarityMiner object from inherited base classes: BaseMiner with example: obj = MultiSimilarityMiner(epsilon)